Moonshot AI Releases Kimi K2.7 Code as Open Model
Kimi K2.7 Code is the latest open coding model from Moonshot AI, offering better performance and lower token consumption than its predecessor, which matters for developers seeking efficient agentic coding tools.
Reporting from 1 sources: GIGAZINE.
Chinese AI company Moonshot AI released Kimi K2.7 Code on June 12, 2026, an open model specialized for coding agents. The MoE model has 1 trillion total parameters and 32 billion active parameters with a 256K token context. It shows improved coding performance over Kimi K2.6 and uses about 30% fewer thinking tokens per task.
Moonshot AI released Kimi K2.7 Code on June 12, 2026, as an open model available for download on Hugging Face. The model is designed for coding agents and uses a Mixture of Experts architecture with 1 trillion total parameters and 32 billion active parameters. Its maximum context length is 262,144 tokens. Benchmark results show Kimi K2.7 Code outperforms the previous generation Kimi K2.6 on coding tasks while consuming about 30% fewer thinking tokens per task, addressing the problem of wasteful token accumulation in AI agents.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.